Job Description
ABOUT THE JOB
- Develop and maintain Modern Data Warehouse and Lakehouse solutions
- Use Kafka to stream raw data into data lake
- Develop and maintain data flows within Azure
- Perform data quality and metadata management
- Create data visualizations using Power BI and Tableau
- Collaborate directly with technical customers to design cloud-based technical architecture and approaches
- Support and troubleshoot data pipelines.
ABOUT YOU
- Bachelor's degree in data engineering, computer science or related fields
- 4+ years of experience in data engineering
- Expertise in Modern Data Warehouse and Lakehouse solutions, data quality, and metadata management
- Strong experience with Azure Synapse Analytics, Data Factory, Databricks, and Stream Analytics
- Proficiency in ETL/ELT processes and SQL/TSQL
- Experience in data modelling and pipeline orchestration with Azure tools
- Familiarity with Power BI Cloud and Tableau
- Microsoft Azure Data Engineer Associate (DP-203) certification preferred
- Good communication skills in English and Vietnamese
- You have strong communication skills and the ability to work collaboratively in a multicultural environment.
WHY AMARIS
- Competitive salary and 13th-month salary
- 14+ annual leaves per year
- Premium healthcare insurance, starting from your probation period
- Project reviews and yearly performance appraisals
- Annual company trips
- Teambuilding activities: Team lunch/dinner, events, and celebrations, sports clubs (football, yoga, badminton, etc.)
- International team with flexible working time
- Tailor-made career path
- Technical workshops and training courses
- Mobility: Opportunities to be on-site abroad in our offices in over 60+ countries
Equal Opportunity
Amaris Consulting is proud to be an equal opportunity workplace. We are committed to promoting diversity within the workforce and creating an inclusive working environment. For this purpose, we welcome applications from all qualified candidates regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics.
